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What outcome does the integration of multiple data sources in IBM Operations Analytics lead to?

Complex analytics processes
Increased manual labor
Broad insight into operational health
Reduced operational efficiency

The correct answer is: Broad insight into operational health

The integration of multiple data sources in IBM Operations Analytics leads to broad insight into operational health because it allows organizations to gather and analyze data from various contexts and systems. This holistic view enables businesses to identify patterns, trends, and anomalies across their operations, providing a more comprehensive understanding of their performance and potential issues. By consolidating data from disparate sources, organizations can gain insights that would be challenging to achieve with isolated data sets. This capability enhances decision-making, facilitates predictive analysis, and improves overall operational agility. Consequently, it empowers stakeholders to make informed decisions to optimize operations, anticipate challenges, and enhance performance. The other outcomes, such as complex analytics processes or increased manual labor, are not inherent benefits of this integration; rather, they can result from poorly executed data integration strategies. The focus of effective data integration is to streamline processes and enhance insights rather than complicate them. Additionally, instead of reducing operational efficiency, a well-integrated data system typically improves overall efficiency by enabling faster and more accurate decision-making.